Objective: To determine the correlation of platelet indices; platelet count (PC), mean platelet volume (MPV), platelet distribution width (PDW) and platelet large cell ratio (P-LCR) with mortality in patients admitted to PICU. Study Design: Comparative cross-sectional study. Place and Duration of Study: Pediatric Intensive Care Unit (PICU) of CMH Lahore from Jun 2019 to May 2020. Methodology: Cases (mortality group) were the 81 consecutive patients who died in the PICU during the study period and fulfilled inclusion criteria. The control group comprised 81 surviving patients admitted to PICU contemporarily. Both groups' mean values of platelet indices (PC, MPV, PDW and P-LCR) were compared. Results: The mortality rate was 10.42%. Infants were the largest sub-group (45.68%) in the mortality group. Mean platelet counts were significantly low, while mean MPV, PDW and P-LCR were significantly higher in children in the mortality group compared to the control group (p-value <0.001). The correlation coefficient 'r' was -0.682,0.598,0.671 and 0.355 for platelet count, PDW, MPV and P-LCR, respectively, showing a negative correlation between platelet count and positive correlation of mean platelet volume (MPV), platelet distribution width (PDW) and platelet-large cell ratio (P-LCR) with mortality. Conclusion: Deranged platelet indices, as manifested by lower platelet count and higher values of MPV, PDW and p-LCR, were significantly correlated with higher mortality in children admitted to PICU and can be used to predict/anticipate the severity of illness.

Background: Unexpectedly and unfortunately the end of the year 2019 has proved to be the start of a deadliest era of Coronavirus disease 19. Spread of this lethal disease has remained uninhibited so far. How rapidly it has wrapped up the whole world is dangerously alarming. Aim: To determine frequency of Covid outcome in Covid patients with preexisting different co-morbid conditions. Methods: This descriptive study was conducted from July 2020 to January 2021 in two tertiary care hospital i.e. Services hospital, Lahore (Punjab) and hospital, Quetta (Baluchistan). After ethical approval and informed consent from the patients, data from PCR positive patients was recorded. The demographic parameters, travel or exposure history, duration of stay in the hospital and co morbidities including diabetes, hypertension, stroke and ischemic heart diseases of the patients were collected. Results: In our study, total 124 patients including 84(67.7%) male and 40(32.3%) female. The mean ages was 41.29±20.21 years, mean weight and height 83.46±15.1, 174.2±8.31. 82%patients were discharged, and 42%patients suffered death. Among the patients included in this study, 51(%) patients presented with diabetes, 55(%) patients presented with hypertension, 52% had ischemic heart diseases and 1.6% had stroke. Conclusion: The conclusion of this study, there is a significant impact of pre-existing co-morbidities on Covid outcomes. Thus, it can be inferred that by modifying the comorbidities, positive outcome can be observed Keywords: COVID-19, Risk factors, Outcome, Mortality